* using log directory ‘/data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase.Rcheck’
* using R Under development (unstable) (2026-04-29 r89977)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)
    GNU Fortran (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)
* running under: Fedora Linux 42 (Workstation Edition)
* using session charset: UTF-8
* current time: 2026-04-30 02:24:19 UTC
* using option ‘--no-stop-on-test-error’
* checking for file ‘glmmrBase/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘glmmrBase’ version ‘1.4.0’
* package encoding: UTF-8
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package ‘glmmrBase’ can be installed ... [37m/23m] OK
* used C++ compiler: ‘g++ (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)’
* checking C++ specification ... INFO
  specified C++17
* checking package directory ... OK
* checking whether the package can be loaded ... [13s/26s] OK
* checking whether the package can be loaded with stated dependencies ... [13s/30s] OK
* checking whether the package can be unloaded cleanly ... [13s/36s] OK
* checking whether the namespace can be loaded with stated dependencies ... [14s/37s] OK
* checking whether the namespace can be unloaded cleanly ... [13s/46s] OK
* checking loading without being on the library search path ... [14s/29s] OK
* checking compiled code ... OK
* checking examples ... [25s/43s] ERROR
Running examples in ‘glmmrBase-Ex.R’ failed
The error most likely occurred in:

> ### Name: Model
> ### Title: A GLMM Model
> ### Aliases: Model
> 
> ### ** Examples
> 
> 
> ## ------------------------------------------------
> ## Method `Model$new`
> ## ------------------------------------------------
> 
> ## Don't show: 
> setParallel(FALSE) 
> ## End(Don't show)
> # For more examples, see the examples for MCML.
> 
> #create a data frame describing a cross-sectional parallel cluster
> #randomised trial
> df <- nelder(~(cl(10)*t(5)) > ind(10))
> df$int <- 0
> df[df$cl > 5, 'int'] <- 1
> mod <- Model$new(
+   formula = ~ factor(t) + int - 1 + (1|gr(cl)) + (1|gr(cl,t)),
+   data = df,
+   family = stats::gaussian()
+ )
> 
> # We can also include the outcome data in the model initialisation. 
> # For example, simulating data and creating a new object:
> df$y <- mod$sim_data()
> 
> mod <- Model$new(
+   formula = y ~ factor(t) + int - 1 + (1|gr(cl)) + (1|gr(cl,t)),
+   data = df,
+   family = stats::gaussian()
+ )
> 
> # Here we will specify a cohort study
> df <- nelder(~ind(20) * t(6))
> df$int <- 0
> df[df$t > 3, 'int'] <- 1
> 
> des <- Model$new(
+   formula = ~ int + (1|gr(ind)),
+   data = df,
+   family = stats::poisson()
+ )
>   
> # or with parameter values specified
>   
> des <- Model$new(
+   formula = ~ int + (1|gr(ind)),
+   covariance = c(0.05),
+   mean = c(1,0.5),
+   data = df,
+   family = stats::poisson()
+ )
> 
> #an example of a spatial grid with two time points
> 
> df <- nelder(~ (x(10)*y(10))*t(2))
> spt_design <- Model$new(formula = ~ 1 + (1|ar0(t)*fexp(x,y)),
+                         data = df,
+                         family = stats::gaussian())
> 
> ## ------------------------------------------------
> ## Method `Model$sim_data`
> ## ------------------------------------------------
> 
> df <- nelder(~(cl(10)*t(5)) > ind(10))
> df$int <- 0
> df[df$cl > 5, 'int'] <- 1
> ## Don't show: 
> setParallel(FALSE) # for the CRAN check
> ## End(Don't show)
> des <- Model$new(
+   formula = ~ factor(t) + int - 1 + (1|gr(cl)*ar0(t)),
+   covariance = c(0.05,0.8),
+   mean = c(rep(0,5),0.6),
+   data = df,
+   family = stats::binomial()
+ )
> ysim <- des$sim_data()
> 
> ## ------------------------------------------------
> ## Method `Model$update_parameters`
> ## ------------------------------------------------
> 
> ## Don't show: 
> setParallel(FALSE) # for the CRAN check
> ## End(Don't show)
> df <- nelder(~(cl(10)*t(5)) > ind(10))
> df$int <- 0
> df[df$cl > 5, 'int'] <- 1
> des <- Model$new(
+   formula = ~ factor(t) + int - 1 + (1|gr(cl)*ar0(t)),
+   data = df,
+   family = stats::binomial()
+ )
> des$update_parameters(cov.pars = c(0.1,0.9))
> 
> ## ------------------------------------------------
> ## Method `Model$power`
> ## ------------------------------------------------
> 
> ## Don't show: 
> setParallel(FALSE) # for the CRAN check
> ## End(Don't show)
> df <- nelder(~(cl(10)*t(5)) > ind(10))
> df$int <- 0
> df[df$cl > 5, 'int'] <- 1
> des <- Model$new(
+   formula = ~ factor(t) + int - 1 + (1|gr(cl)) + (1|gr(cl,t)),
+   covariance = c(0.05,0.1),
+   mean = c(rep(0,5),0.6),
+   data = df,
+   family = stats::gaussian(),
+   var_par = 1
+ )
> des$power() #power of 0.90 for the int parameter
=================================================================
==158531==ERROR: AddressSanitizer: heap-use-after-free on address 0x7cb0f9806c90 at pc 0x7b60dd0a309f bp 0x7ffe2ec873b0 sp 0x7ffe2ec873a8
READ of size 16 at 0x7cb0f9806c90 thread T0
    #0 0x7b60dd0a309e in _mm_load_pd /usr/lib/gcc/x86_64-redhat-linux/15/include/emmintrin.h:128
    #1 0x7b60dd0a309e in double __vector(2) Eigen::internal::pload<double __vector(2)>(Eigen::internal::unpacket_traits<double __vector(2)>::type const*) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:716
    #2 0x7b60dd0a309e in double __vector(2) Eigen::internal::ploadt<double __vector(2), 16>(Eigen::internal::unpacket_traits<double __vector(2)>::type const*) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/GenericPacketMath.h:967
    #3 0x7b60dd0a309e in double __vector(2) Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >::packet<16, double __vector(2)>(long) const /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:245
    #4 0x7b60dd0a309e in double __vector(2) Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >::packet<16, double __vector(2)>(long) const /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430
    #5 0x7b60dd0a309e in double __vector(2) Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const>, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::packet<16, double __vector(2)>(long) const /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790
    #6 0x7b60dd0a309e in double __vector(2) Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >::packet<16, double __vector(2)>(long) const /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430
    #7 0x7b60dd0a309e in void Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >, Eigen::internal::assign_op<double, double>, 0>::assignPacket<16, 16, double __vector(2)>(long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681
    #8 0x7b60dd0a309e in Eigen::internal::dense_assignment_loop<Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >, Eigen::internal::assign_op<double, double>, 0>, 3, 0>::run(Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >, Eigen::internal::assign_op<double, double>, 0>&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437
    #9 0x7b60dd0a309e in void Eigen::internal::call_dense_assignment_loop<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785
    #10 0x7b60dc9de394 in Eigen::internal::Assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double>, Eigen::internal::Dense2Dense, void>::run(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954
    #11 0x7b60dc9de394 in void Eigen::internal::call_assignment_no_alias<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890
    #12 0x7b60dc9de394 in void Eigen::internal::call_assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&, Eigen::internal::enable_if<!Eigen::internal::evaluator_assume_aliasing<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::evaluator_traits<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >::Shape>::value, void*>::type) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858
    #13 0x7b60dc9de394 in void Eigen::internal::call_assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836
    #14 0x7b60dc9de394 in Eigen::Matrix<double, -1, 1, 0, -1, 1>& Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> >::_set<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >(Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779
    #15 0x7b60dc9de394 in Eigen::Matrix<double, -1, 1, 0, -1, 1>& Eigen::Matrix<double, -1, 1, 0, -1, 1>::operator=<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >(Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Matrix.h:225
    #16 0x7b60dc9de394 in glmmr::MatrixW<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >::update(Eigen::Matrix<double, -1, 1, 0, -1, 1> const&) ../inst/include/glmmr/matrixw.hpp:62
    #17 0x7b60dc4fa03a in glmmr::ModelMatrix<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >::information_matrix() ../inst/include/glmmr/modelmatrix.hpp:245
    #18 0x7b60dc33ed73 in operator()<Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > > > /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/model_module.cpp:1424
    #19 0x7b60dc33ed73 in __invoke_impl<std::variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::vector<double, std::allocator<double> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::vector<int, std::allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<(glmmr::SE)1>, CorrectionData<(glmmr::SE)4>, CorrectionData<(glmmr::SE)6>, CorrectionData<(glmmr::SE)5>, std::vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, std::pair<double, double>, BoxResults, std::pair<int, int> >, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&> /usr/include/c++/15/bits/invoke.h:63
    #20 0x7b60dc33ed73 in __invoke<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&> /usr/include/c++/15/bits/invoke.h:99
    #21 0x7b60dc33ed73 in __visit_invoke /usr/include/c++/15/variant:1057
    #22 0x7b60dc33ed73 in __do_visit<std::__detail::__variant::__deduce_visit_result<std::variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::vector<double, std::allocator<double> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::vector<int, std::allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<(glmmr::SE)1>, CorrectionData<(glmmr::SE)4>, CorrectionData<(glmmr::SE)6>, CorrectionData<(glmmr::SE)5>, std::vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, std::pair<double, double>, BoxResults, std::pair<int, int> > >, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> > >, false> >&> /usr/include/c++/15/variant:1892
    #23 0x7b60dc33ed73 in visit<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> > >, false> >&> /usr/include/c++/15/variant:1956
    #24 0x7b60dc33ed73 in Model__information_matrix(SEXPREC*, int) /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/model_module.cpp:1426
    #25 0x7b60dbf24231 in _glmmrBase_Model__information_matrix /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/RcppExports.cpp:916
    #26 0x000000751566 in R_doDotCall /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:757
    #27 0x0000008ee072 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8677
    #28 0x0000008c47a3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7510
    #29 0x0000008637b2 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167
    #30 0x00000087b6fa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2388
    #31 0x00000087f6ea in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2301
    #32 0x000000863e65 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2323
    #33 0x000000863e65 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278
    #34 0x00000089526e in do_set /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3562
    #35 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #36 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #37 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #38 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #39 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #40 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #41 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #42 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #43 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #44 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #45 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #46 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #47 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #48 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #49 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #50 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #51 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #52 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #53 0x00000087b6fa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2388
    #54 0x00000087f6ea in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2301
    #55 0x000000863e65 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2323
    #56 0x000000863e65 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278
    #57 0x00000089526e in do_set /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3562
    #58 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #59 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #60 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #61 0x00000087b6fa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2388
    #62 0x00000087f6ea in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2301
    #63 0x000000863e65 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2323
    #64 0x000000863e65 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278
    #65 0x000000a0b948 in Rf_ReplIteration /data/gannet/ripley/R/svn/R-devel/src/main/main.c:264
    #66 0x000000a0b948 in R_ReplConsole /data/gannet/ripley/R/svn/R-devel/src/main/main.c:317
    #67 0x000000a1ac3a in run_Rmainloop /data/gannet/ripley/R/svn/R-devel/src/main/main.c:1235
    #68 0x000000a1acd2 in Rf_mainloop /data/gannet/ripley/R/svn/R-devel/src/main/main.c:1242
    #69 0x00000041309f in main /data/gannet/ripley/R/svn/R-devel/src/main/Rmain.c:29
    #70 0x7f60f7e12574 in __libc_start_call_main (/lib64/libc.so.6+0x3574) (BuildId: 92b5376d35bb29c098175948cf3e7cbcae3aeae1)
    #71 0x7f60f7e12627 in __libc_start_main@GLIBC_2.2.5 (/lib64/libc.so.6+0x3627) (BuildId: 92b5376d35bb29c098175948cf3e7cbcae3aeae1)
    #72 0x000000413a84 in _start (/data/gannet/ripley/R/gcc-SAN3/bin/exec/R+0x413a84) (BuildId: c6674a52d82721b63740da8101c3938721e01b45)

0x7cb0f9806c90 is located 16 bytes inside of 496-byte region [0x7cb0f9806c80,0x7cb0f9806e70)
freed by thread T0 here:
    #0 0x7f60f94e5beb in free.part.0 (/lib64/libasan.so.8+0xe5beb) (BuildId: d3cb6206dff19da52969c009f4cd93611901c478)
    #1 0x7b60dbf47c92 in Eigen::internal::handmade_aligned_free(void*) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:118
    #2 0x7b60dbf47c92 in Eigen::internal::handmade_aligned_free(void*) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:114
    #3 0x7b60dbf47c92 in Eigen::internal::aligned_free(void*) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:206
    #4 0x7b60dbf47c92 in void Eigen::internal::conditional_aligned_free<true>(void*) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:259
    #5 0x7b60dbf47c92 in void Eigen::internal::conditional_aligned_delete_auto<double, true>(double*, unsigned long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:446
    #6 0x7b60dbf47c92 in Eigen::DenseStorage<double, -1, -1, 1, 0>::resize(long, long, long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/DenseStorage.h:637
    #7 0x7b60dd0a122c in Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> >::resize(long, long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:285
    #8 0x7b60dd0a122c in void Eigen::internal::resize_if_allowed<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, double, double>(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:764
    #9 0x7b60dd0a122c in void Eigen::internal::call_dense_assignment_loop<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:778
    #10 0x7b60dc9de394 in Eigen::internal::Assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double>, Eigen::internal::Dense2Dense, void>::run(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954
    #11 0x7b60dc9de394 in void Eigen::internal::call_assignment_no_alias<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890
    #12 0x7b60dc9de394 in void Eigen::internal::call_assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&, Eigen::internal::assign_op<double, double> const&, Eigen::internal::enable_if<!Eigen::internal::evaluator_assume_aliasing<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const>, Eigen::internal::evaluator_traits<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >::Shape>::value, void*>::type) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858
    #13 0x7b60dc9de394 in void Eigen::internal::call_assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836
    #14 0x7b60dc9de394 in Eigen::Matrix<double, -1, 1, 0, -1, 1>& Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> >::_set<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >(Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779
    #15 0x7b60dc9de394 in Eigen::Matrix<double, -1, 1, 0, -1, 1>& Eigen::Matrix<double, -1, 1, 0, -1, 1>::operator=<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> >(Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const, Eigen::Array<double, -1, 1, 0, -1, 1> const> const> > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Matrix.h:225
    #16 0x7b60dc9de394 in glmmr::MatrixW<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >::update(Eigen::Matrix<double, -1, 1, 0, -1, 1> const&) ../inst/include/glmmr/matrixw.hpp:62
    #17 0x7b60dc4fa03a in glmmr::ModelMatrix<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >::information_matrix() ../inst/include/glmmr/modelmatrix.hpp:245
    #18 0x7b60dc33ed73 in operator()<Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > > > /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/model_module.cpp:1424
    #19 0x7b60dc33ed73 in __invoke_impl<std::variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::vector<double, std::allocator<double> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::vector<int, std::allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<(glmmr::SE)1>, CorrectionData<(glmmr::SE)4>, CorrectionData<(glmmr::SE)6>, CorrectionData<(glmmr::SE)5>, std::vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, std::pair<double, double>, BoxResults, std::pair<int, int> >, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&> /usr/include/c++/15/bits/invoke.h:63
    #20 0x7b60dc33ed73 in __invoke<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&> /usr/include/c++/15/bits/invoke.h:99
    #21 0x7b60dc33ed73 in __visit_invoke /usr/include/c++/15/variant:1057
    #22 0x7b60dc33ed73 in __do_visit<std::__detail::__variant::__deduce_visit_result<std::variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::vector<double, std::allocator<double> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::vector<int, std::allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<(glmmr::SE)1>, CorrectionData<(glmmr::SE)4>, CorrectionData<(glmmr::SE)6>, CorrectionData<(glmmr::SE)5>, std::vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, std::pair<double, double>, BoxResults, std::pair<int, int> > >, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> > >, false> >&> /usr/include/c++/15/variant:1892
    #23 0x7b60dc33ed73 in visit<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> > >, false> >&> /usr/include/c++/15/variant:1956
    #24 0x7b60dc33ed73 in Model__information_matrix(SEXPREC*, int) /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/model_module.cpp:1426
    #25 0x7b60dbf24231 in _glmmrBase_Model__information_matrix /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/RcppExports.cpp:916
    #26 0x000000751566 in R_doDotCall /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:757
    #27 0x0000008ee072 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8677
    #28 0x0000008c47a3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7510
    #29 0x0000008637b2 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167
    #30 0x00000087b6fa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2388
    #31 0x00000087f6ea in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2301
    #32 0x000000863e65 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2323
    #33 0x000000863e65 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278
    #34 0x00000089526e in do_set /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3562
    #35 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #36 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #37 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #38 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #39 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #40 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #41 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #42 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #43 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #44 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #45 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #46 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #47 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #48 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #49 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230

previously allocated by thread T0 here:
    #0 0x7f60f94e6f2b in malloc (/lib64/libasan.so.8+0xe6f2b) (BuildId: d3cb6206dff19da52969c009f4cd93611901c478)
    #1 0x7b60dbf049f4 in Eigen::internal::handmade_aligned_malloc(unsigned long, unsigned long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:105
    #2 0x7b60dbf049f4 in Eigen::internal::aligned_malloc(unsigned long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:188
    #3 0x7b60dbf47d19 in void* Eigen::internal::conditional_aligned_malloc<true>(unsigned long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:241
    #4 0x7b60dbf47d19 in double* Eigen::internal::conditional_aligned_new_auto<double, true>(unsigned long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/Memory.h:404
    #5 0x7b60dbf47d19 in Eigen::DenseStorage<double, -1, -1, 1, 0>::resize(long, long, long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/DenseStorage.h:639
    #6 0x7b60dd09e823 in Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> >::resize(long, long) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:285
    #7 0x7b60dd09e823 in void Eigen::internal::resize_if_allowed<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, double, double>(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:764
    #8 0x7b60dd09e823 in void Eigen::internal::call_dense_assignment_loop<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:778
    #9 0x7b60dc9de166 in Eigen::internal::Assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::assign_op<double, double>, Eigen::internal::Dense2Dense, void>::run(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954
    #10 0x7b60dc9de166 in void Eigen::internal::call_assignment_no_alias<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, Eigen::internal::assign_op<double, double> const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890
    #11 0x7b60dc9de166 in void Eigen::internal::call_assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::assign_op<double, double> >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, Eigen::internal::assign_op<double, double> const&, Eigen::internal::enable_if<!Eigen::internal::evaluator_assume_aliasing<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator_traits<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >::Shape>::value, void*>::type) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858
    #12 0x7b60dc9de166 in void Eigen::internal::call_assignment<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >(Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836
    #13 0x7b60dc9de166 in Eigen::Matrix<double, -1, 1, 0, -1, 1>& Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> >::_set<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >(Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779
    #14 0x7b60dc9de166 in Eigen::Matrix<double, -1, 1, 0, -1, 1>& Eigen::Matrix<double, -1, 1, 0, -1, 1>::operator=<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > >(Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1, 0, -1, 1> > > const&) /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Matrix.h:225
    #15 0x7b60dc9de166 in glmmr::MatrixW<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >::update(Eigen::Matrix<double, -1, 1, 0, -1, 1> const&) ../inst/include/glmmr/matrixw.hpp:61
    #16 0x7b60dc4fa03a in glmmr::ModelMatrix<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >::information_matrix() ../inst/include/glmmr/modelmatrix.hpp:245
    #17 0x7b60dc33ed73 in operator()<Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > > > /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/model_module.cpp:1424
    #18 0x7b60dc33ed73 in __invoke_impl<std::variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::vector<double, std::allocator<double> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::vector<int, std::allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<(glmmr::SE)1>, CorrectionData<(glmmr::SE)4>, CorrectionData<(glmmr::SE)6>, CorrectionData<(glmmr::SE)5>, std::vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, std::pair<double, double>, BoxResults, std::pair<int, int> >, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&> /usr/include/c++/15/bits/invoke.h:63
    #19 0x7b60dc33ed73 in __invoke<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&> /usr/include/c++/15/bits/invoke.h:99
    #20 0x7b60dc33ed73 in __visit_invoke /usr/include/c++/15/variant:1057
    #21 0x7b60dc33ed73 in __do_visit<std::__detail::__variant::__deduce_visit_result<std::variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::vector<double, std::allocator<double> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >, std::vector<int, std::allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<(glmmr::SE)1>, CorrectionData<(glmmr::SE)4>, CorrectionData<(glmmr::SE)6>, CorrectionData<(glmmr::SE)5>, std::vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, std::pair<double, double>, BoxResults, std::pair<int, int> > >, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> > >, false> >&> /usr/include/c++/15/variant:1892
    #22 0x7b60dc33ed73 in visit<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:62)> >&, std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::spdeCovariance, glmmr::LinearPredictor> > >, false> >&> /usr/include/c++/15/variant:1956
    #23 0x7b60dc33ed73 in Model__information_matrix(SEXPREC*, int) /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/model_module.cpp:1426
    #24 0x7b60dbf24231 in _glmmrBase_Model__information_matrix /data/gannet/ripley/R/packages/tests-gcc-SAN/glmmrBase/src/RcppExports.cpp:916
    #25 0x000000751566 in R_doDotCall /data/gannet/ripley/R/svn/R-devel/src/main/dotcode.c:757
    #26 0x0000008ee072 in bcEval_loop /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:8677
    #27 0x0000008c47a3 in bcEval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:7510
    #28 0x0000008637b2 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1167
    #29 0x00000087b6fa in R_execClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2388
    #30 0x00000087f6ea in applyClosure_core /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2301
    #31 0x000000863e65 in Rf_applyClosure /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2323
    #32 0x000000863e65 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1278
    #33 0x00000089526e in do_set /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:3562
    #34 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #35 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #36 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #37 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #38 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #39 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #40 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #41 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #42 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #43 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #44 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991
    #45 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #46 0x000000864286 in Rf_eval /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:1230
    #47 0x000000877c6b in do_begin /data/gannet/ripley/R/svn/R-devel/src/main/eval.c:2991

SUMMARY: AddressSanitizer: heap-use-after-free /usr/lib/gcc/x86_64-redhat-linux/15/include/emmintrin.h:128 in _mm_load_pd
Shadow bytes around the buggy address:
  0x7cb0f9806a00: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x7cb0f9806a80: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x7cb0f9806b00: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x7cb0f9806b80: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fa fa
  0x7cb0f9806c00: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
=>0x7cb0f9806c80: fd fd[fd]fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x7cb0f9806d00: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x7cb0f9806d80: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x7cb0f9806e00: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fa fa
  0x7cb0f9806e80: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x7cb0f9806f00: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
Shadow byte legend (one shadow byte represents 8 application bytes):
  Addressable:           00
  Partially addressable: 01 02 03 04 05 06 07 
  Heap left redzone:       fa
  Freed heap region:       fd
  Stack left redzone:      f1
  Stack mid redzone:       f2
  Stack right redzone:     f3
  Stack after return:      f5
  Stack use after scope:   f8
  Global redzone:          f9
  Global init order:       f6
  Poisoned by user:        f7
  Container overflow:      fc
  Array cookie:            ac
  Intra object redzone:    bb
  ASan internal:           fe
  Left alloca redzone:     ca
  Right alloca redzone:    cb
==158531==ABORTING
* DONE
Status: 1 ERROR